KwaiAgents
Basic Information
KwaiAgents is an open-source collection of agent-related research and tooling released by KwaiKEG at Kuaishou Technology that implements a generalized information-seeking agent system using large language models. The repository packages a lightweight system implementation called KAgentSys-Lite, a family of Agent-capable language models (KAgentLMs) tuned with a Meta-agent tuning method, a large instruction fine-tuning dataset (KAgentInstruct) with over 200k entries, and an evaluation suite (KAgentBench) with over 3,000 human-edited test cases. The project provides benchmarks and human evaluation results comparing planning, tool use, reflection, concluding and profiling capabilities across multiple models. The README documents installation, model serving options for GPU and CPU, command-line usage of the KAgentSys-Lite agent, and notes on limitations such as a reduced tool set and lack of memory mechanisms in the lite system.